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Time varying spatio-temporal covariance models
Ryan H.L. IP,
Wai Keung LI
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
8
Citations (Scopus)
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Keyphrases
Traditional Models
100%
Covariance Model
100%
Spatio-temporal Covariance Model
100%
Copyright
50%
Varying Parameters
50%
Practical Implementation
50%
Air Pollution Data
50%
Spatial Random Fields
50%
Dependency Structure
50%
Time-varying Model
50%
Improving Model
50%
Monitoring Network
50%
Model Flexibility
50%
Computer Science
Traditional Model
100%
Air Pollution
50%
Network Monitoring
50%
Mathematics
Covariance Model
100%
Parametric
33%
Observed Data
33%
Random Field
33%
Agricultural and Biological Sciences
Covariance
100%
Air Pollution
33%